Journal Article


Effect of shade on biodiversity within coffee farms : a meta-analysis

Abstract

Aligning crop production with conservation initiatives has long been a topic of debate, with agricultural intensification threatening biodiversity across the globe. Shade-grown coffee allows farmers to preserve biodiversity by providing viable habitat, but its conservation value remains unclear. In this meta-analysis, we screened existing literature using the PRISMA protocol to compare the effect of three shade intensities on species diversity and individual abundance: sun, low shade (LS) and high shade (HS). Furthermore, we examine differences between taxa, within taxa and between regions to establish which species benefit most from shade and whether these benefits vary dependent on geographical location. Out of 1889 studies, we included 69 studies in the analysis, and performed random-effects meta-analyses and meta-regressions. Overall, we found that species diversity was significantly higher in HS when compared to sun and LS, and species diversity in LS tended to be higher than in sun. In each treatment, the species diversity of birds was higher in the higher shade treatment, i.e., HS and LS. In addition, mammal and epiphyte species diversity was higher in HS when compared to LS. Similarly, studies from Latin America showed significantly higher species diversity and abundance in shaded farms when compared to sun farms. Studies conducted in Africa detailed the opposite relationship, with abundance being significantly higher in less shaded systems, highlighting that land-use strategies must be region-specific. Moving forward, strategies to conserve biodiversity within coffee farms should: 1) account for region-specific variables; 2) end further encroachment; 3) maintain connectivity; and 4) optimise yield through prioritising faunal and floral diversity.

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Authors

Manson, Sophie
Nekaris, K.A.I.
Nijman, Vincent
Campera, Marco

Oxford Brookes departments

School of Law and Social Sciences
Department of Biological and Medical Sciences

Dates

Year of publication: 2024
Date of RADAR deposit: 2024-01-10


Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License


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